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Kontor:
A2075 ( Jon Lilletuns vei 9, Grimstad )

Education

  • Universitetet i Agder (UiA): Doctor of Philosophy (Ph.D.), information and communication technology, 2008 – 2012. Supervisors: Prof. Dr. Frank Yong Li, and Prof. Dr. Vicent Pla
  • Shandong University: Master of Engineering, communication and information system, 2005 – 2008. Supervisor: Prof. Dr. Jianping Xing
  • Hunan University: Bachelor of engineering, telecommunication engineering, 2001 – 2005.

Work experience:

  • Professor, University of Agder: October 2022-present.
  • Associate Professor, University of Agder: May 2014-October 2022.
  • Postdoc Researcher, University of Agder: May 2012-December 2014. 

 

     

    Undervisning

    Bachelor Courses:

    Master Courses: 

    PhD Courses: 

    PhD Supervision:

    • Vojtech Halenka. Topic: Tsetlin machine and its application in image processing (Co-supervisor)
    • Ahmed K. Kadhim. Topic: Tsetlin machine and its hardware implementation (Main supervisor) 
    • Sindhusha Jeeru. Topic: AI for GNSS jammer detection (Main supervisor)
    • Emil Mühlbradt Sveen. Topic: Probabilistic Semantic Deep Reinforcement Learning and Robotic Vision for Cobots (Co-supervisor)
    • Svein Anders Tunheim. Topic: Tsetlin machine and its hardware development (Main supervisor)
    • Bimal Bhattarai. Topic: Tsetlin machine and its application in NLP (Co-supervisor)
    • Rebekka Olsson Omslandseter. Topic: Advanced reinforcement learning algorithms and their applications (Main supervisor. Defended in Dec. 2023)
    • Sven Myrdahl Opalic. Topic: ANN and its applications in modern energy systems (Co-supervisor. Defended in Nov. 2023)
    • Rohan Kumar Yadav. Thesis title: Interpretable architecture and algorithms for NLP (Main supervisor. Defended in Nov. 2022)
    • Zaiwar Ali. Thesis title: Computational Offloading in Mobile Edge Computing through Deep Learning (Co-supervisor. GIK Institute of Engineering Sciences and Technology, Pakistan. Defended in Sept. 2021)

    Master Thesis Supervision:

    • Jonatan H. Hindersland, “Analyzing the performance of transformers for streamflow prediction”, 2023, (Main supervisor: Associate Prof. Per-Arne Andersen)
    • Ledaal, Bjørn Vetle, “Tsetlin Machine for Fake News Detection: Enhancing Accuracy and Reliability”, 2023. (Co-supervisors: Bimal Bhattarai and Xuan Zhang)
    • Tor E. V. Øvernes and Daniel Ramundsen, “mmWave Radar based Contactless Method for Estimating Parameters of Swinging Load: Implementation and Validation”, 2022 (Main supervisor: Associate Prof. Ajit Jha)
    • Daniel N. Hansen, Aleksander M. Lingstad, and Marius Suvatne, “Exploration and Performance Analysis of Clustering Algorithms for Time-Series Data with Dimension Reduction”, 2022 (Co-supervisor: Rebekka O. Omslandseter)
    • Elian Altalab and Teklemariam Weldehawariat, “Smooth and Consistent Video Anonymization Using Triangular Inpainting and Optical Flow, 2022 (Co-supervisor: Dr. Jivitesh Sharma)
    • Emilija Jasinskaite and Øyvor Y. Skjei, "Combining DeepPrivacy with an Attribute-driven Generative Adversarial Network to Preserve Gender and Age in De-identified CCTV Footage", 2021 (Co-supervisor: Prof. Morten Goodwin)
    • Robin Omslandseter, "An Environment-Adaptive Approach for Indoor Localization Using the Tsetlin Machine", 2021 (Co-supervisor: Prof. Ole-Christoffer Granmo)
    • Jakob Michael Voigt, "Classification of GNSS Jammers using Machine Learning--A Multivariate Time Series and Image Classification based Approaches", 2021. 
    • Rebekka O. Omslandseter, "Learning Automata-Based Object Partitioning with Pre-Specified Cardinalities", 2020. (Best Master Thesis Award. Co-supervisor: Prof. John B. Oommen)
    • Adrian Langemyr, "Predicting Electrical Power Consumption on Yearly Eventsfor Substations: Algorithm Design and Performance Evaluations", 2020. (Co-supervisor: Prof. Frank Reichert).  
    • Eivind Lindseth, "An encoder-decoder based deep learning approach for anonymization of visual surveillance media with preservation of utility", 2020. (Main supervisor: Associate Prof. Morten Goodwin; Co-supervisor: Dr. Bente Skattør)
    • Erik Bøtun and Henrik Bugge Halvorsen, "Computer Vision based Auxiliary System for Computer Assembly: System Design and Implementation", 2019.
    • Maria Thalina Broen, Atle Fjelde Kristiansen, and Joakim Risa Sloreby, "AI enabled educator with adaptive learning graph: a video-game based implementation", 2019.
    • Christopher Dambakk, "The Maritime Pickup and Delivery Problemwith Cost and Time Window Constraints: System Modeling and A* Based Solution", 2019.
    • Sahand Johansen and Tommy Sandtorv Johannessen, "A Deep Learning Approach for Recognizing Daily Movement Patterns through Accelerometer Data", 2018. (Co-supervisor: Associate Prof. Morten Goodwin)
    • Erlend Olsvik, Christian M. D. Trinh,"Biometric Fish Classification of Nordic Species Using Convolutional Neural Network with Squeeze-and-Excitation", 2018. (Main supervisor: Associate Prof. Morten Goodwin)
    • Magnus Lysfjord, "Deep Learning for predicting energy consumption", 2017. (Main supervisor: Associate Prof. Morten Goodwin) 
    • Rajan Thapa, "A Learning Automata based Shiftable Domestic Load Scheduling in Smart Grid: Accuracy and Fairness", 2016. 
    • Songpu Ai, "Domestic Electricity Demand and Peak Predictions Considering Influence of Weather Parameters", 2015. (Main supervisor: Prof. Dr. Mohan L. Kolhe)
    • Gaoqiang Zhuo, "Marine Data Collection and Transmission System for ECO-boat", 2014.
    • Chi Winth Ea and Morten Sørbø, "Multi-purpose Embedded Communication Gateway: System Design and Testbed Implementation", 2014.
    • Baddam Sriram Reddy and Xiaolong Chen, “Data Collection and Transmission for Leisure Time Boats based on Arduino WSNs and LTE", 2013. (Co-supervisor: Prof. Dr. Frank Y. Li)
    • Mingli Yue and Yihai Sun, “Marine Data Collection based on Embedded System with Wired and Wireless Transmission", 2013. (Co-supervisor: Prof. Dr. Frank Y. Li)
    • Qihao Li, “Performance Evaluation of the GCR Block ACK Mechanism in IEEE 802.11aa Networks", 2013. (Co-supervisor: Prof. Dr. Frank Y. Li)
    • Zhaohan Jia, “GPS-based Collision Avoidance for Moving Vehicles: Algorithm, Implementation and Testing", 2012. (Main supervisor: Prof. Dr. Frank Y. Li)
    • Indika A. M. Balapuwaduge, “Performance Evaluation of Channel Aggregation Strategies in Cognitive Radio Networks with Queues", 2012. (Best Master Thesis Award. Main supervisor: Prof. Dr. Frank Y. Li)

    Faglige interesser

    • Artificial intelligence.  
    • Wireless communication protocols, network resource allocations, and performance evaluations.
    • Electronics

    Prosjekter

    Ongoing:

    • Norwegian research council: Causal Reasoning with Logical Interpretable Learning (CaReLearner). Work package leader. 
    • EU H2020: RHINOCEROS. Technical contributor.
    • Norwegian research council: Cyber-physical Threat Monitoring, Localization and Enforcement in Support of Safety Critical Infrastructure and System Operation. Work package leader. 
    • Norwegian research council: Responsible AI for Citizen Safety in Future Smart Cities (AI4citizens). Work package leader. 
    • Norwegian research council: Logic-based Artificial Intelligence Everywhere: Tsetlin Machines in Hardware.  Work package leader. 

    Completed: 

    • Norwegian research council: Chatbots supporting user loyalty to service providers. Technical contributor. 
    • EU-FP7: Scalable Energy Management Infrastructure for Aggregation of Households. Technical contributor. 
    • EU-Erasmus: Security, Services, Networking and Performance of Next Generation IP-based Multimedia Wireless Networks. Technical contributor. 
    • Norwegian research council: ECO-boat mid of life (ECO-boat MOL). Postdoc. 

    Utvalgte publikasjoner

    This page may not be updated on regular basis. Please refer to my google scholar for my recent publications. 

    Book:

    Lei Jiao, "Channel Aggregation and Fragmentation for Traffic Flows", Springer, 2020, ISBN: 978-3-030-33080-4.

    Journal Papers: 

    1. Maheshwari, Sidharth, Tousif Rahman, Alex Yakovlev, Ashur Rafiev, Lei Jiao, and Ole-Christoffer Granmo. "REDRESS: Generating Compressed Models for Edge Inference Using Tsetlin Machines." IEEE Transactions on Pattern Analysis and Machine Intelligence, Accepted and online available, 2023.
    2. Rebekka O. Omslandseter,  Lei Jiao, Xuan Zhang, Anis Yazidi, and B. John Oommen. The Hierarchical Discrete Pursuit Learning Automaton: A Novel Scheme With Fast Convergence and Epsilon-Optimality. IEEE Transactions on Neural Networks and Learning Systems, Accepted and online available, 2022.
    3. Lei Jiao, Xuan Zhang, Ole-Christoffer Granmo, and Darshana Abeyrathna Kuruge. On the Convergence of Tsetlin Machines for the XOR Operator. IEEE Transactions on Pattern Analysis and Machine Intelligence, Accepted and online available, 2022.
    4. Bimal Bhattarai, Ole-Christoffer Granmo, and Lei Jiao. Word-level human interpretable scoring mechanism for novel text detection using Tsetlin machines. Applied Intelligence, Accepted and online available, 2022. 
    5. Rebekka Olsson Omslandseter, Lei Jiao, Yuanwei Liu, and B John Oommen. User grouping and power allocation in NOMA systems: a novel semi-supervised reinforcement learning-based solution. Pattern Analysis and Applications, Accepted and online available, 2022
    6. Opalic, Sven Myrdahl, Morten Goodwin, Lei Jiao, Henrik Kofoed Nielsen, and Mohan Lal Kolhe. Augmented Random Search with Artificial Neural Networks for energy cost optimization with battery control. Journal of Cleaner Production, 380: 134676, 2022.
    7. Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, and Morten Goodwin. On the convergence of Tsetlin machines for the IDENTITY-and NOT operators. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(10), pp. 6345-6359, 2022.
    8. Zixuan Fei, Ying Wang, Junwei Zhao, Xue Wang, and Lei Jiao. Joint computational and wireless resource allocation in multi-cell collaborative fog computing networks. IEEE Transactions on Wireless Communications, 21(11), pp. 9155-9169, 2022.
    9. Kristian Muri Knausg ̊ard, Arne Wiklund, Tonje Knutsen Sørdalen, Kim Tallaksen Halvorsen, Alf Ring Kleiven, Lei Jiao, and Morten Goodwin. Temperate fish detection and classification: a deep learning based approach. Applied Intelligence, 52(6):6988–7001, 2022. 
    10. Morten Goodwin, Kim Tallaksen Halvorsen, Lei Jiao, Kristian MuriKnausg ̊ard, Angela Helen Martin, Marta Moyano, Rebekah A Oomen, Jeppe Have Rasmussen, Tonje Knutsen Sørdalen, and Susanna Huneide Thorbjørnsen. Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook. ICES Journal of Marine Science, 79(2):319–336, 2022
    11. Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Rishad Shafik, Lei Jiao, Adrian Wheeldon, Alex Yakovlev, Jie Lei, and Morten Goodwin. A multi-step finite-state automaton for arbitrarily deterministic Tsetlin machine learning. Expert Systems, 2021.
    12. Vimala Nunavath, Sahand Johansen, Tommy Sandtorv Johannessen, Lei Jiao, Bjørge Herman Hansen, Sveinung Berntsen, and Morten Goodwin. Deep learning for classifying physical activities from accelerometer data. Sensors, 21(16):5564, 2021.
    13. Rohan Kumar Yadav, Lei Jiao, Morten Goodwin, and Ole-Christoffer Granmo. Positionless aspect based sentiment analysis using attention mechanism. Knowledge-Based Systems, 226:107–136, 2021. 
    14. Yuanbin Chen, Ying Wang, and Lei Jiao. Robust transmission for reconfigurable intelligent surface aided millimeter wave vehicular communications with statistical CSI. IEEE Transactions on Wireless Communications, 21(2):928–944, 2021.
    15. Ziaul Haq Abbas, Zaiwar Ali, Ghulam Abbas, Lei Jiao, Muhammad Bilal, Doug-Young Suh, and Md Jalil Piran. Computational offloading in mobile edge with comprehensive and energy efficient cost function: a deep learning approach. Sensors, 21(10):3523, 2021.
    16. Xiang Xiao, Fanzi Zeng, Zhenzhen Hu, and Lei Jiao. Dynamic flow-adaptive spectrum leasing with channel aggregation in cognitive radio networks. Sensors, 20(13):3800, 2020.
    17. Sven Myrdahl Opalic, Morten Goodwin, Lei Jiao, Henrik Kofoed Nielsen, ́Angel ́Alvarez Pardi ̃nas, Armin Hafner, and Mohan Lal Kolhe. ANN modelling of CO2 refrigerant cooling system COP in a smart warehouse. Journal of Cleaner Production, 260:120887, 2020. 
    18. Zhijiang Li, Yingping Zheng, Liqin Cao, Lei Jiao, Yanfei Zhong, and Caiyi Zhang. A student’s t-based density peaks clustering with superpixel segmentation (tDPCSS) method for image color clustering. Color Research & Application, 45(4):656–670, 2020. 
    19. Arif Ullah, Ziaul Haq Abbas, Fazal Muhammad, Ghulam Abbas, and Lei Jiao. Capacity driven small cell deployment in heterogeneous cellular networks: outage probability and rate coverage analysis. Transactions on Emerging Telecommunications Technologies, 31(6):e3876, 2020. 
    20. Yuanbin Chen, Ying Wang, Man Liu, Jiayi Zhang, and Lei Jiao. Network slicing enabled resource management for service-oriented ultra-reliable and low-latency vehicular networks. IEEE Transactions on Vehicular Technology, 69(7):7847–7862, 2020. 
    21. Arif Ullah, Ziaul Haq Abbas, Ghulam Abbas, Fazal Muhammad, and Lei Jiao. Performance analysis of user-centric SBS deployment with load balancing in heterogeneous cellular networks: a Thomas cluster process approach. Computer Networks, 170:107120, 2020.
    22. K Darshana Abeyrathna, Ole-Christoffer Granmo, Xuan Zhang, Lei Jiao and Morten Goodwin. The regression Tsetlin machine: a novel approach to interpretable nonlinear regression. Philosophical Transactions of the Royal Society A, 378(2164):20190165, 2020.
    23. Zhong Yang, Yuanwei Liu, Yue Chen, and Lei Jiao. Learning automata based Q-learning for content placement in cooperative caching. IEEE Transactions on Communications, 68(6):3667–3680, 2020. 
    24. Zhijiang Li, Zhenshan Tan, Liqin Cao, Hu Chen, Lei Jiao, and Yanfei Zhong. Directive local color transfer based on dynamic look-up table. Signal Processing: Image Communication, 79:1–12, 2019. 
    25. Geir Thore Berge, Ole-Christoffer Granmo, Tor Oddbjørn Tveit, Morten Goodwin, Lei Jiao, and Bernt Viggo Matheussen. Using the Tsetlin machine to learn human-interpretable rules for high-accuracy text categorization with medical applications. IEEE Access, 7:115134–115146, 2019.
    26. Zhijiang Li, Haonan Zhu, Liqin Cao, Lei Jiao, Yanfei Zhong, and Ailong Ma. Face inpainting via nested generative adversarial networks. IEEE Access, 7:155462–155471, 2019. 
    27. Zaiwar Ali, Lei Jiao, Thar Baker, Ghulam Abbas, Ziaul Haq Abbas, and Sadia Khaf. A deep learning approach for energy efficient computational offloading in mobile edge computing. IEEE Access, 7:149623–149633, 2019.
    28. Anis Yazidi, Xuan Zhang, Lei Jiao, and B John Oommen. The hierarchical continuous pursuit learning automation: a novel scheme for environments with large numbers of actions. IEEE transactions on neural networks and learning systems, 31(2):512–526, 2019. 
    29. Xuan Zhang, Lei Jiao, B John Oommen, and Ole-Christoffer Granmo. A conclusive analysis of the finite-time behavior of the discretized pursuit learning automaton. IEEE Transactions on Neural Networks and Learning
      Systems, 31(1):284–294, 2019. 
    30. Alamgir Naushad, Ghulam Abbas, Ziaul Haq Abbas, and Lei Jiao. A novel faster failure detection strategy for link connectivity using hello messaging in mobile ad hoc networks. Int. J. Ad Hoc Ubiquitous Comput., 32(2):75–98, 2019.
    31. Sachula Meng, Ying Wang, Lei Jiao, Zhongyu Miao, and Kai Sun. Hierarchical evolutionary game based dynamic cloudlet selection and bandwidth allocation for mobile cloud computing environment. IET Communications, 13(1):16–25, 2019.
    32. Fanzi Zeng, Jisheng Xu, Yongfeng Li, Kang Li, and Lei Jiao. Performance analysis of underlay two-way relay cooperation in cognitive radio networks with energy harvesting. Computer networks, 142:13–23, 2018. 
    33. Alamgir Naushad, Ghulam Abbas, Ziaul Haq Abbas, Lei Jiao, and Fazal Muhammad. A novel dynamic link connectivity strategy using hello messaging for maintaining link stability in MANETs. Wireless Communications and Mobile Computing, 2018.
    34. Rajan Thapa, Lei Jiao, B John Oommen, and Anis Yazidi. A learning automaton-based scheme for scheduling domestic shiftable loads in smart grids. IEEE Access, 6:5348–5361, 2017.
    35. Liqin Cao, Lei Jiao, Zhijiang Li, Tingting Liu, and Yanfei Zhong. Grayscale image colorization using an adaptive weighted average method. Journal of Imaging Science and Technology, 61(6):60502–1, 2017.
    36. Ziaul Haq Abbas, Fazal Muhammad, and Lei Jiao. Analysis of load balancing and interference management in heterogeneous cellular networks. IEEE Access, 5:14690–14705, 2017.
    37. Muhammad Mussawer Pervez, Ziaul Haq Abbas, Fazal Muhammad, and Lei Jiao. Location-based coverage and capacity analysis of a two tier HetNet. IET Communications, 11(7):1067–1073, 2017. 
    38. Ying Wang, Zhongyu Miao, and Lei Jiao. Safeguarding the ultra-dense networks with the aid of physical layer security: a review and a case study. IEEE Access, 4:9082–9092, 2016. 
    39. Ying Wang, Zhongyu Miao, Ruijin Sun, and Lei Jiao. Distributed coalitional game for friendly jammer selection in ultra-dense networks. EURASIP Journal on Wireless Communications and Networking, 2016(1):1–16, 2016. 
    40. Ying Wang, Peilong Li, Lei Jiao, Zhou Su, Nan Cheng, Xuemin Sherman Shen, and Ping Zhang. A data-driven architecture for personalized QoE management in 5G wireless networks. IEEE Wireless Communications, 24(1):102–110, 2016. 
    41.  Fazal Muhammad, Ziaul Haq Abbas, Ghulam Abbas, and Lei Jiao. De-coupled downlink-uplink coverage analysis with interference management for enriched heterogeneous cellular networks. IEEE Access, 4:6250–6260, 2016.
    42. Xuan Zhang, B John Oommen, Ole-Christoffer Granmo, and Lei Jiao. A formal proof of the ε-optimality of discretized pursuit algorithms. Applied Intelligence, 44(2):282–294, 2016. 
    43. Lei Jiao, Xuan Zhang, B John Oommen, and Ole-Christoffer Granmo. Optimizing channel selection for cognitive radio networks using a distributed Bayesian learning automata-based approach. Applied Intelligence, 44(2):307–321, 2016. 
    44. Xuan Zhang, Ole-Christoffer Granmo, B John Oommen, and Lei Jiao. A formal proof of the ε-optimality of absorbing continuous pursuit algorithms using the theory of regular functions. Applied intelligence, 41(3):974–985, 2014. 
    45.  Lei Jiao, Indika AM Balapuwaduge, Frank Y Li, and Vicent Pla. On the performance of channel assembling and fragmentation in cognitive radio networks. IEEE Transactions on Wireless Communications, 13(10):5661–5675, 2014. 
    46. Indika AM Balapuwaduge, Lei Jiao, Vicent Pla, and Frank Y Li. Channel assembling with priority-based queues in cognitive radio networks: strategies and performance evaluation. IEEE transactions on wireless communications, 13(2):630–645, 2013. 
    47. Lei Jiao, Enbin Song, Vicent Pla, and Frank Y Li. Capacity upper bound of channel assembling in cognitive radio networks with quasistationary primary user activities. IEEE Transactions on Vehicular Technology, 62(4):1849–1855, 2012. 
    48. Lei Jiao, Frank Y Li, and Vicent Pla. Modeling and performance analysis of channel assembling in multichannel cognitive radio networks with spectrum adaptation. IEEE Transactions on Vehicular Technology, 61(6):2686–2697, 2012. 
    49. Lei Jiao and Frank Yong Li. A dynamic parallel-rendezvous MAC mechanism in multi-rate cognitive radio networks: mechanism design and performance evaluation. Journal of Communications, 2009. 

    Converence Papers: 

    1. Darshana Abeyrathna, Ahmed Abouzeid, Bimal Bhattarai, Charul Giri, Sondre Glimsdal, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, Jivitesh Sharma, Svein A. Tunheim and Xuan Zhang. Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size, In IJCAI, 2023. 
    2. Jivitesh Sharma, Rohan Yadav, Ole-Christoffer Granmo, and Lei Jiao. Human interpretable AI: Enhancing Tsetlin machine stochasticity with drop clause. in AAAI, 2023.
    3. Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, and Morten Goodwin. Robust interpretable text classification against spurious correlations using and-rules with negation. In IJCAI, 2022.
    4. Bimal Bhattarai, Ole-Christoffer Granmo, and Lei Jiao. Explainable Tsetlin machine framework for fake news detection with credibility score assessment. In International Conference on Language Resources and Evaluation (LREC), 2022. 
    5. Bimal Bhattarai, Ole-Christoffer Granmo, and Lei Jiao. ConvTextTM: an explainable convolutional Tsetlin machine framework for text classification. In International Conference on Language Resources and Evaluation (LREC), 2022.
    6. Svein Anders Tunheim, Lei Jiao, Rishad Shafik, Alex Yakovlev, and Ole-Christoffer Granmo. A convolutional Tsetlin machine-based field programmable gate array accelerator for image classification. In International Symposium on the Tsetlin Machine (ISTM), 2022.
    7. Anna Jenul, Bimal Bhattarai, Kristian Hovde Liland, Lei Jiao, Stefan Schrunner, Cecilia Futsæther, Ole-Christoffer Granmo, and Oliver Tomic. Component based pre-filtering of noisy data for improved Tsetlin machine modelling. In International Symposium on the Tsetlin Machine (ISTM), 2022.
    8. Svein Anders Tunheim, Rohan Kumar Yadav, Lei Jiao, Rishad Shafik, and Ole-Christoffer Granmo. Cyclostationary random number sequences for the Tsetlin machine. In International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 2022.
    9. Bimal Bhattarai, Lei Jiao, and Ole-Christoffer Granmo. Measuring the novelty of natural language text using the conjunctive clauses of a Tsetlin machine text classifier. In International Conference on Agents and Artificial Intelligence (ICAART), 2021.
    10. Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, and Morten Goodwin. Interpretability in word sense disambiguation using Tsetlin machine. In International Conference on Agents and Artificial Intelligence (ICAART), 2021.
    11. Rebekka Olsson Omslandseter, Lei Jiao, Xuan Zhang, Anis Yazidi, and B John Oommen. The hierarchical discrete learning automaton suitable for environments with many actions and high accuracy requirements. In Australasian Joint Conference on Artificial Intelligence, 2022.
    12. Rebekka Olsson Omslandseter, Lei Jiao, and B John Oommen. A learning-automata based solution for non-equal partitioning: partitions with common GCD sizes. In International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 2021. 
    13. Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, and Morten Goodwin. Enhancing interpretable clauses semantically using pretrained word representation. In ACL 4th BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021.
    14. Kuruge Darshana Abeyrathna, Bimal Bhattarai, Morten Goodwin, Saeed R. Gorji, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, and Rohan Yadav. Massively parallel and asynchronous Tsetlin machine architecture supporting almost constant-time scaling. In International Conference on Machine Learning (ICML), 2021.
    15. Rebekka Olsson Omslandseter, Lei Jiao, and B John Oommen. Object migration automata for non-equal partitioning problems with known partition sizes. In IFIP International Conference on Artificial Intelligence Applications and Innovations, 2021. 
    16. Rohan Yadav, Lei Jiao, Ole-Christoffer Granmo, and Morten Goodwin. Human-level interpretable learning for aspect-based sentiment analysis. In the AAAI Conference on Artificial Intelligence (AAAI), 2021. 
    17. Rohan Kumar Yadav, Bimal Bhattarai, Lei Jiao, Morten Goodwin, and Ole-Christoffer Granmo. Indoor space classification using cascaded LSTM. In IEEE 15th Conference on Industrial Electronics and Applications (ICIEA), 2020.
    18. Sven Myrdahl Opalic, Morten Goodwin, Lei Jiao, Henrik Kofoed Nielsen, and Mohan Lal Kolhe. A deep reinforcement learning scheme for battery energy management. In 5th International Conference on Smart and Sustainable Technologies (SpliTech), 2020. 
    19. Rebekka Olsson Omslandseter, Lei Jiao, Yuanwei Liu, and B John Oommen. User grouping and power allocation in NOMA systems: a reinforcement learning-based solution. In International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 2020
    20. K Darshana Abeyrathna, Ole-Christoffer Granmo, Lei Jiao, and Morten Goodwin. The regression Tsetlin machine: a Tsetlin machine for continuous output problems. In EPIA Conference on Artificial Intelligence. 2019. 
    21. Erlend Olsvik, Christian Trinh, Kristian Muri Knausg ̊ard, Arne Wiklund, Tonje Knutsen Sørdalen, Alf Ring Kleiven, Lei Jiao, and Morten Goodwin. Biometric fish classification of temperate species using convolutional neural network with squeeze-and-excitation. In International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 2019. (A Best Paper Award)
    22. Sven Myrdahl Opalic, Morten Goodwin, Lei Jiao, Henrik Kofoed Nielsen, and Mohan Lal Kolhe. Modelling of compressors in an industrial CO2-based operational cooling system using ANN for energy management purposes. In International Conference on Engineering Applications of Neural Networks, 2019.
    23. Thomas Jordbru, Lei Jiao, and Linga Reddy Cenkeramaddi. UDP flows in cognitive radios with channel aggregation and fragmentation: a test-bed based evaluation. In IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), 2018.
    24. Svein Inge Albrigtsen, Alexander Imenes, Morten Goodwin, Lei Jiao, and Vimala Nunavath. Neuroevolution of actively controlled virtual characters-an experiment for an eight-legged character. In International Conference on Engineering Applications of Neural Networks, 2018. 
    25. Rebekka Olsson Omslandseter, Lei Jiao, and Magne Arild Haglund. Field measurements and parameter calibrations of propagation model for digital audio broadcasting in Norway. In IEEE 88th Vehicular Technology Conference (VTC-Fall), 2018.
    26. Anis Yazidi, Xuan Zhang, Lei Jiao, and B John Oommen. The hierarchical continuous pursuit learning automation for large numbers of actions. In IFIP International Conference on Artificial Intelligence Applications and Innovations, 2018.
    27. Min Zhang and Lei Jiao. On the performance of multiplexing real-time VBR traffic with multiple hysteresis areas. In 23th European Wireless Conference, 2017.
    28. Rajan Thapa, Lei Jiao, B John Oommen, and Anis Yazidi. Scheduling domestic shiftable loads in smart grids: A learning automata-based scheme. In Smart Grid Inspired Future Technologies, 2017. (A Best Paper Award)
    29. Fazal Muhammad, Ziaul Haq Abbas, and Lei Jiao. Analysis of interference avoidance with load balancing in heterogeneous cellular networks. In IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), 2016.
    30. Songpu Ai, Lei Jiao, Frank Y Li, and Milka Radin. Channel aggregation with guard-band in D-OFDM based CRNs: modeling and performance evaluation. In IEEE Wireless Communications and Networking Conference, 2016.
    31. Ai Songpu, Mohan Lal Kolhe, Lei Jiao, Nils Ulltveit-Moe, and Qi Zhang. Domestic demand predictions considering influence of external environmental parameters. In IEEE 13th International Conference on Industrial Informatics (INDIN), 2015.
    32.  Ai Songpu, Mohan Lal Kolhe, Lei Jiao, and Qi Zhang. Domestic load forecasting using neural network and its use for missing data analysis. In the 9th International Symposium on Advanced Topics in Electrical Engineering (ATEE), 2015.
    33. Ai Songpu, Mohan Lal Kolhe, and Lei Jiao. External parameters contribution in domestic load forecasting using neural network. In International Conference on Renewable Power Generation, 2015. 
    34. Lei Jiao, Xuan Zhang, Ole-Christoffer Granmo, and B John Oommen. A Bayesian learning automata-based distributed channel selection scheme for cognitive radio networks. In International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 2014.
    35. Xuan Zhang, B John Oommen, Ole-Christoffer Granmo, and Lei Jiao. Using the theory of regular functions to formally prove the ε-optimality of discretized pursuit learning algorithms. In International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 2014. (A Best Paper Award)
    36. Huihui Yang, Lei Jiao, and Vladimir A Oleshchuk. A general framework for group authentication and key exchange protocols. In International Symposium on Foundations and Practice of Security, 2013.
    37. Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, and B John Oommen. Channel selection in cognitive radio networks: a switchable Bayesian learning automata approach. In IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), 2013. 
    38. Xuan Zhang, Ole-Christoffer Granmo, B John Oommen, and Lei Jiao. On using the theory of regular functions to prove the ε-optimality of the continuous pursuit learning automaton. In International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 2013. 
    39. Qihao Li, Lei Jiao, and Frank Y Li. Performance evaluation of the GCR block ACK mechanism in IEEE 802.11aa networks. In 19th European Wireless Conference, 2013.
    40. Lei Jiao, Ke Yu, and Frank Y Li. Distributed routing and channel allocation in multi-channel multi-hop ad hoc networks. In IEEE Wireless Communications and Networking Conference (WCNC), 2013.
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    Vitenskapelige publikasjoner

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